Jetrei Benedick R. Benito, Joseph Ryan G. Lansangan, Erniel B. Barrios
{"title":"频率变化的半参数波动率模型","authors":"Jetrei Benedick R. Benito, Joseph Ryan G. Lansangan, Erniel B. Barrios","doi":"10.1080/03610918.2024.2356236","DOIUrl":null,"url":null,"abstract":"Time series data from various sources usually results to variables measured at varying frequencies as this is often dependent on the source. Modeling from these data can be facilitated by aggregati...","PeriodicalId":0,"journal":{"name":"","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Semiparametric volatility model with varying frequencies\",\"authors\":\"Jetrei Benedick R. Benito, Joseph Ryan G. Lansangan, Erniel B. Barrios\",\"doi\":\"10.1080/03610918.2024.2356236\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Time series data from various sources usually results to variables measured at varying frequencies as this is often dependent on the source. Modeling from these data can be facilitated by aggregati...\",\"PeriodicalId\":0,\"journal\":{\"name\":\"\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0,\"publicationDate\":\"2024-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"\",\"FirstCategoryId\":\"100\",\"ListUrlMain\":\"https://doi.org/10.1080/03610918.2024.2356236\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"","FirstCategoryId":"100","ListUrlMain":"https://doi.org/10.1080/03610918.2024.2356236","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Semiparametric volatility model with varying frequencies
Time series data from various sources usually results to variables measured at varying frequencies as this is often dependent on the source. Modeling from these data can be facilitated by aggregati...